IDEAS home Printed from https://ideas.repec.org/a/spr/trosos/v15y2021i1d10.1007_s12626-021-00079-4.html
   My bibliography  Save this article

Rebuilding the Food Supply Chain by Introducing a Decentralized Credit Mechanism

Author

Listed:
  • Yu Cui

    (Otemon Gakuin University)

  • Hiroki Idota

    (Kindai University)

  • Masaharu Ota

    (Osaka Gakuin University)

Abstract

Although a mechanism for trust in agricultural product transactions has systems and laws to endorse contracts, the credit relationship and security mechanism lack sufficient trust. Currently, an RFID traceability system is used to solve the problem that how to read and protect data, but the situation is such that the data can be tampered with, thus considerably lowering security. Blockchain technology, which is a distributed, shared, and encrypted database, however, can be used for such security. Through distributed accounting, a decentralized credit system can be established to enhance data security, which is a new mode to save time and costs. In this paper, the problems of the food supply chain system are systematically reanalyzed in the framework of traditional food supply chain systems. In addition, after analyzing the characteristics of blockchain technology, a decentralized credit mechanism for the food supply chain is proposed. The traceability of agricultural products based on the blockchain can realize fast and secure authentication permissions and achieve data security in which data cannot be tampered with or forged from anti-counterfeiting, and information privacy is protected.

Suggested Citation

  • Yu Cui & Hiroki Idota & Masaharu Ota, 2021. "Rebuilding the Food Supply Chain by Introducing a Decentralized Credit Mechanism," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 239-250, June.
  • Handle: RePEc:spr:trosos:v:15:y:2021:i:1:d:10.1007_s12626-021-00079-4
    DOI: 10.1007/s12626-021-00079-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12626-021-00079-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12626-021-00079-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thomas Allen & Paolo Prosperi & Bruce Cogill & Martine Padilla & Iuri Peri, 2019. "A Delphi Approach to Develop Sustainable Food System Metrics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1307-1339, February.
    2. Krzyzanowski, Kathleen, 2019. "Putting Food on the Blockchain: A Regulatory Overview," Journal of Food Distribution Research, Food Distribution Research Society, vol. 50(1), March.
    3. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    2. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    3. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    4. Zhao, Xiaofei & Wang, Ping & Pal, Raktim, 2021. "The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Esteve Nadal-Roig & Lluís Miquel Plà-Aragonès & Víctor Manuel Albornoz, 2023. "Supply Chains: Planning the Transportation of Animals among Facilities," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    6. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Horacio Augstburger & Fabian Käser & Stephan Rist, 2019. "Assessing Food Systems and Their Impact on Common Pool Resources and Resilience," Land, MDPI, vol. 8(4), pages 1-25, April.
    8. Antonelli, Marta & Basile, Linda & Gagliardi, Francesca & Isernia, Pierangelo, 2022. "The future of the Mediterranean agri-food systems: Trends and perspectives from a Delphi survey," Land Use Policy, Elsevier, vol. 120(C).
    9. Yung-Fu Huang & Vu-Dung-Van Phan & Manh-Hoang Do, 2023. "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance," Administrative Sciences, MDPI, vol. 13(10), pages 1-17, October.
    10. Mohammed Belal Uddin & Bilkis Akhter, 2022. "Investigating the relationship between top management commitment, supply chain collaboration, and sustainable firm performance in the agro-processing supply chain," Operations Management Research, Springer, vol. 15(3), pages 1399-1417, December.
    11. Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    12. Jamshed Raza & Yuxin Liu & Jianwei Zhang & Nan Zhu & Zohaib Hassan & Habib Gul & Sikander Hussain, 2021. "Sustainable Supply Management Practices and Sustainability Performance: The Dynamic Capability Perspective," SAGE Open, , vol. 11(1), pages 21582440211, March.
    13. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
    14. Sharma, Varun & Vijayaraghavan, T.A.S. & Raghu Ram, Tata L., 2023. "Resolving operational paradox of sustainable supply chain: A decision framework approach," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    15. Jingyi Zhang & Jiaxin Liu & Yaqi Chen & Xiaochun Feng & Zilai Sun, 2021. "Knowledge Mapping of Machine Learning Approaches Applied in Agricultural Management—A Scientometric Review with CiteSpace," Sustainability, MDPI, vol. 13(14), pages 1-15, July.
    16. Himanshu Gupta & Manjeet Kharub & Kumar Shreshth & Ashwani Kumar & Donald Huisingh & Anil Kumar, 2023. "Evaluation of strategies to manage risks in smart, sustainable agri‐logistics sector: A Bayesian‐based group decision‐making approach," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4335-4359, November.
    17. Liesel Carlsson & Edith Callaghan & Göran Broman, 2021. "Assessing Community Contributions to Sustainable Food Systems: Dietitians Leverage Practice, Process and Paradigms," Systemic Practice and Action Research, Springer, vol. 34(5), pages 575-601, October.
    18. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
    19. Gaofeng Wang & Shuai Li & Zihao Zhang & Yanning Hou & Changhoon Shin, 2023. "A Visual Knowledge Map Analysis of Cross-Border Agri-Food Supply Chain Research Based on CiteSpace," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    20. repec:ags:ijaeri:334605 is not listed on IDEAS
    21. Rengarajan, Srinath & Narayanamurthy, Gopalakrishnan & Moser, Roger & Pereira, Vijay, 2022. "Data strategies for global value chains: Hybridization of small and big data in the aftermath of COVID-19," Journal of Business Research, Elsevier, vol. 144(C), pages 776-787.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:trosos:v:15:y:2021:i:1:d:10.1007_s12626-021-00079-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.